Senior ML Engineer

Adobe • San Jose, CA

90d • $142,700 - $257,600

About The Position

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! We are seeking a Senior ML Engineer to join our team of dedicated machine learning and software engineers. This role involves timely engineering, system development, ML model assessment, constructing data pipelines, composing prototypes, evaluation, operationalization. Looking for individuals skilled in classical and deep learning, able to build and implement ML solutions for production environments. If you thrive on delivering innovative customer features, adopting new technologies, and contributing to high-visibility projects, this role may be a good match. The atmosphere is dynamic, fast-paced, creative, collaborative, and data-centric.

Requirements

• Completed a degree in Computer Science, Machine Learning, or a related field.
• 5+ years of experience in machine learning engineering roles.
• Strong software engineering skills, including version control, code review, and CI/CD practices.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Sagemaker.
• Experience in developing and deploying ML models in production environments.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for ML deployment.
• Strong understanding of data structures, algorithms, and system development.
• Strong leadership and team-building skills.
• Excellent communication and presentation skills.

Nice To Haves

• Familiarity with Generative AI technologies and applications.
• Familiarity with Retrieval-Augmented Generation (RAG) and other contemporary NLP methods.
• Having experience with MLOps practices and tools.
• Having a background in Recommendation Systems.

Responsibilities

• Contribute to the backend services supporting ML and Generative-AI functionalities.
• Build, develop, implement, and evaluate machine learning models using classical and deep learning approaches, as well as GenAI.
• Collaborate with cross-functional teams to integrate ML solutions into existing products and services.
• Analyze and improve efficiency, accuracy, scalability, and stability of AI-enabled workflows.
• Stay current with the latest advancements in ML and AI technologies.
• Guide and support junior team members to aid in the overall development of the ML team.

Benefits

• Compensation reflects the cost of labor across several U.S. geographic markets.
• U.S. pay range for this position is $142,700 -- $257,600 annually.
• Pay varies by work location and may depend on job-related knowledge, skills, and experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree